AI, Digital Cultural Heritage

Artificial Intelligence for Digital Heritage Innovation: Setting up a R&D Agenda for Europe

Sander M√ľnster (Junior Professorship for Digital Humanities (Object/Image), Friedrich Schiller University Jena and 5Dculture), Ferdinand Maiwald (Institute of Photogrammetry and Remote Sensing, Technische Universit√§t Dresden), Isabella di Lenardo (Local Time Machine Manager), Juha Henriksson (TMO RFC Editor and Finnish Time Machine Ambassador), Antoine Isaac (Europeana Foundation), Manuela Graf (TMO Project Scouting Officer), Clemens Beck (Friedrich Schiller University Jena) and Johan Oomen (Netherlands Institute for Sound & Vision) pooled their expertise and insights to compile this comprehensive exploration of the intersection between artificial intelligence and cultural heritage.


Abstract

Artificial intelligence (AI) is a game changer in many fields, including cultural heritage. It supports the planning and preservation of heritage sites and cities, enables the creation of virtual experiences to enrich cultural tourism and engagement, supports research, and increases access and understanding of heritage objects. Despite some impressive examples, the full potential of AI for economic, social, and cultural change is not yet fully visible. Against this background, this article aims to (a) highlight the scope of AI in the field of cultural heritage and innovation, (b) highlight the state of the art of AI technologies for cultural heritage, (c) highlight challenges and opportunities, and (d) outline an agenda for AI, cultural heritage, and innovation.

Click here to read the full paper.

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